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coreyjadams committed Apr 1, 2021
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Expand Up @@ -35,12 +35,14 @@ python bin/stochastic_reconfiguration.py run_id=deuteron nparticles=2 iterations

This software is compatible with both CPUs and GPUs through Tensorflow. It has good weak and strong scaling performance:

![Scaling performance for 4He on A100 GPUs (ThetaGPU@ALCF)](https://github.com/coreyjadams/AI-for-QM/blob/master/images/Scaling_Performance.pdf)
![Scaling performance for 4He on A100 GPUs (ThetaGPU@ALCF)](https://github.com/coreyjadams/AI-for-QM/blob/master/images/Scaling_Performance.png)

The software also has good scaling performance with increasing number of nucleons:

![Nucleon scaling performance on A100 GPUs (ThetaGPU@ALCF)](https://github.com/coreyjadams/AI-for-QM/blob/master/images/NucleonScaling.pdf)
![Nucleon scaling performance on A100 GPUs (ThetaGPU@ALCF)](https://github.com/coreyjadams/AI-for-QM/blob/master/images/NucleonScaling.png)



## Reference

If you use this software, please reference our publication [on arxiv](https://arxiv.org/abs/2007.14282)
If you use this software, please reference our publication [on arxiv](https://arxiv.org/abs/2007.14282)

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